Vedang M. Deshpande

30 papers C 6Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	H2/H∞ state and output feedback control with sparse actuation. Autom. Vedang M. Deshpande, Raktim Bhattacharya
2025	—	`conf`	Dynamic Sensor Scheduling for Spatio-Temporal Monitoring of Water Bodies. CCTA Vedang M. Deshpande, Abraham P. Vinod
2025	J	`jnl`	Meta-Learning for Physically-Constrained Neural System Identification. CoRR Ankush Chakrabarty, Gordon Wichern, Vedang M. Deshpande, Abraham P. Vinod, Karl Berntorp, Christopher R. Laughman
2025	J	`jnl`	Meta-learning for physically-constrained neural system identification. Neurocomputing Ankush Chakrabarty, Gordon Wichern, Vedang M. Deshpande, Abraham P. Vinod, Karl Berntorp, Christopher R. Laughman
2024	—	`conf`	Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks. CCTA Ankush Chakrabarty, Luigi Vanfretti, Wei-Ting Tang, Joel A. Paulson, Sicheng Zhan, Scott A. Bortoff, Vedang M. Deshpande, Ye Wang, Christopher R. Laughman
2024	J	`jnl`	Guaranteed Robust Performance of $\mathcal {H}_{\infty }$ Filters With Sparse and Low Precision Sensing. IEEE Trans. Autom. Control. Vedang M. Deshpande, Raktim Bhattacharya
2024	C	`conf`	Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing. ACC Iman Askari, Yebin Wang, Vedang M. Deshpande, Huazhen Fang
2024	—	`conf`	Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications. CDC Ankush Chakrabarty, Vedang M. Deshpande, Gordon Wichern, Karl Berntorp
2024	J	`jnl`	ℋ CoRR Vedang M. Deshpande, Raktim Bhattacharya
2023	C	`conf`	Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles. ACC Raphael Chinchilla, Vedang M. Deshpande, Ankush Chakrabarty, Christopher R. Laughman
2023	J	`jnl`	Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States. IEEE Control. Syst. Lett. Vedang M. Deshpande, Ankush Chakrabarty, Abraham P. Vinod, Christopher R. Laughman
2023	—	`conf`	Spectrum Sharing-Inspired Safe Motion Planning. ICC Workshops Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang M. Deshpande, Kieran Parsons, Ye Wang
2022	C	`conf`	Constrained Smoothers for State Estimation of Vapor Compression Cycles. ACC Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas
2022	J	`jnl`	Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems. IEEE Control. Syst. Lett. Vedang M. Deshpande, Raktim Bhattacharya, Kamesh Subbarao
2021	J	`jnl`	A unified framework to generate optimized compact finite difference schemes. J. Comput. Phys. Vedang M. Deshpande, Raktim Bhattacharya, Diego A. Donzis
2021	J	`jnl`	Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters. IEEE Control. Syst. Lett. Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya
2021	J	`jnl`	Sensor Placement with Optimal Precision for Temperature Estimation of Battery Systems. CoRR Vedang M. Deshpande, Raktim Bhattacharya, Kamesh Subbarao
2021	J	`jnl`	Sensor Selection and Optimal Precision in H CoRR Vedang M. Deshpande, Raktim Bhattacharya
2021	C	`conf`	Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments. ACC Vedang M. Deshpande, Raktim Bhattacharya
2021	J	`jnl`	Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments. CoRR Vedang M. Deshpande, Raktim Bhattacharya
2021	J	`jnl`	Sparse Sensing and Optimal Precision: An Integrated Framework for H IEEE Control. Syst. Lett. Vedang M. Deshpande, Raktim Bhattacharya
2021	C	`conf`	Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty. ACC Vedang M. Deshpande, Raktim Bhattacharya
2020	J	`jnl`	Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions. CoRR Vedang M. Deshpande, Raktim Bhattacharya
2020	J	`jnl`	H2 Optimized PID Control of Quad-Copter Platform with Wind Disturbance. CoRR Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya
2020	J	`jnl`	Kalman Filtering with Probabilistic Uncertainty in System Parameters. CoRR Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya
2020	J	`jnl`	Sparse Sensing and Optimal Precision: Robust H CoRR Vedang M. Deshpande, Raktim Bhattacharya
2020	J	`jnl`	Sparse Sensing for H CoRR Vedang M. Deshpande, Raktim Bhattacharya
2020	C	`conf`	Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions. ACC Vedang M. Deshpande, Raktim Bhattacharya
2019	J	`jnl`	A unified framework to generate optimized compact finite difference schemes. CoRR Vedang M. Deshpande, Raktim Bhattacharya, Diego A. Donzis
2019	J	`jnl`	On Improved Statistical Accuracy of Low-Order Polynomial Chaos Approximations. CoRR Vedang M. Deshpande, Raktim Bhattacharya